Freelance AI Evaluation Engineer (Python/Full-Stack)

Mindrift; Portugal; Presencial; EUR 35 818; Tempo parcial

Resumo da oferta

A project-based AI solutions provider in Portugal seeks experienced developers to create and refine challenging coding tests for AI systems. The ideal candidates will have a degree in Computer Science or related fields, strong expertise in Python, and significant experience with Full-Stack development. This part-time opportunity involves working on tasks estimated to take around 20 hours, offering competitive compensation up to $30 per hour based on contribution levels. English proficiency at a B2 level is required.

Qualificações

• 5+ years in software development, primarily Python (pytest, async/await, subprocess, file operations).
• Background in Full-Stack development with focus on React and robust Back-end systems.
• Experience writing functional and integration tests, not just running them.

Responsabilidades

• Create challenging coding test cases for AI coding systems.
• Review and refine realistic coding tasks based on production codebases.
• Analyze AI failures and iterate based on feedback.

Conhecimentos

Python

Test automation

Full-Stack development

Docker

CI/CD

English proficiency - B2

Formação académica

Degree in Computer Science, Software Engineering or related fields

Descrição da oferta de emprego

Please submit your CV in English and indicate your level of English proficiency.

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.

What This Opportunity Involves

You'll create challenging coding test cases that push AI coding systems to their limits:

• Review and refine realistic coding tasks based on provided production codebases with realistic scope, requirements and information sources
• Write comprehensive functional tests that validate actual end-to-end behavior and edge-cases, not just superficial checks
• Craft "fair but hard" challenges where the AI has all the context it needs, but has to work for it (information scattered across files and external sources, complex reasoning required)
• Analyze AI failures to understand what the model struggles with vs. what it masters
• Iterate based on feedback from expert QA reviewers who score your work on 7 quality criteria

What We Look For

This opportunity is a good fit for experienced developers, software engineers, and/or test automation specialists open to part-time, non-permanent projects. Ideally, contributors will have:

• Degree in Computer Science, Software Engineering or related fields
• 5+ years in software development, primarily Python (pytest, async/await, subprocess, file operations)
• Background in Full-Stack development, with an equal focus on building React-based interfaces and robust Back-end systems
• Experience writing tests (functional, integration - not just running them)
• Docker containers (running evaluations locally in containers)
• CI/CD understanding (GitHub Actions as a user: triggers, labels, reading results)
• English proficiency - B2

How It Works

Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid

Effort estimate

Tasks for this project are estimated to take 20 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.

Compensation

On this project, contributors can earn up to $30 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.